CN118295566A - Drawing auxiliary method, device, equipment and readable storage medium - Google Patents

Abstract

The present application provides a drawing assistance method, device, equipment and readable storage medium. The method of the present application is executed by an electronic device, and the electronic device is provided with a camera, and the method comprises: obtaining a first image in the image captured by the camera; wherein the first image comprises a target object for drawing; determining the target position information of the first image in the drawing paper area captured by the camera; and adjusting the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera. This solution solves the problem that users cannot achieve high-quality drawing with the help of electronic devices.

Description

Drawing auxiliary method, device, equipment and readable storage medium

Technical Field

The embodiments of the present application relate to the field of image processing technology, and in particular, to a drawing assistance method, device, equipment and readable storage medium.

Background technique

The current painting process requires the user to actually create, and the user's actual painting level is required to be high. For example, when a user needs to copy a work, such as copying an object in real life, if a good effect is needed to be copied, the user needs to have strong copying and painting skills. For some people who are not good at painting and beginners who have no actual painting foundation, it is extremely inconvenient to achieve excellent painting effects.

Summary of the invention

The embodiments of the present application provide a drawing assistance method, device, equipment and readable storage medium to assist users in achieving high-quality drawing.

In order to solve the above problems, this application is implemented as follows:

In a first aspect, an embodiment of the present application provides a drawing assistance method, which is performed by an electronic device, wherein the electronic device is provided with a camera, and the method includes:

Acquire a first image among the images captured by the camera; wherein the first image includes a target object of the painting;

Determine target position information of the first image in the drawing paper area captured by the camera;

The position of the first image in the image display interface is adjusted according to the target position information and the change of the drawing paper area captured by the camera.

In a second aspect, an embodiment of the present application provides a drawing assisting device, comprising:

An acquisition module, used to acquire a first image from an image captured by a camera; wherein the first image includes a target object of a painting;

A first processing module, used for determining target position information of the first image in the drawing paper area captured by the camera;

The second processing module is used to adjust the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera.

In a third aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a program stored in the memory and executable on the processor; the processor is configured to read the program in the memory to implement the steps in the aforementioned painting assistance method.

In a fourth aspect, an embodiment of the present application provides a readable storage medium for storing a program, wherein the program, when executed by a processor, implements the steps in the aforementioned painting assistance method.

In a fifth aspect, a computer program product is provided, comprising computer instructions, which, when executed by a processor, implement the steps of the above-mentioned drawing assistance method.

In an embodiment of the present application, for a target object drawn by a user, a first image including the target object can be obtained in an image captured by a camera. Thereafter, as the user moves the electronic device, the target position information of the first image is determined in the drawing paper area captured by the camera, so that the position of the first image in the image display interface is timely adjusted according to the target position information and changes in the drawing paper area captured by the camera, thereby facilitating the user to copy the painting and achieving a higher quality copying painting effect. The user does not need to have professional painting skills, thereby providing convenience for painting beginners or enthusiasts.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

FIG1 is a schematic diagram showing a flow chart of a drawing assistance method according to an embodiment of the present application;

FIG2 is a schematic diagram showing a display of an electronic device;

FIG3 is a schematic diagram showing the structure of a deep learning cutout model;

FIG4 shows a second display schematic diagram of an electronic device;

FIG5 is a schematic diagram showing an application of the method of an embodiment of the present application;

FIG6 is a schematic diagram showing the structure of a drawing assisting device according to an embodiment of the present application;

FIG. 7 is a schematic diagram showing the structure of an electronic device according to an embodiment of the present application.

Detailed ways

To make the technical problems, technical solutions and advantages to be solved by the present application clearer, the following will be described in detail in conjunction with the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help fully understand the embodiments of the present application. Therefore, it should be clear to those skilled in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. In addition, for clarity and brevity, the description of known functions and structures has been omitted.

It should be understood that the references to "one embodiment" or "an embodiment" throughout the specification mean that the specific features, structures, or characteristics associated with the embodiment are included in at least one embodiment of the present application. Therefore, the references to "in one embodiment" or "in an embodiment" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

In various embodiments of the present application, it should be understood that the order of execution of the following processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. In addition, the terms "system" and "network" are often used interchangeably in this article.

As shown in FIG. 1 , an embodiment of the present application provides a drawing assistance method, which is performed by an electronic device, wherein a camera is provided on the electronic device, and the method includes:

Step 11, obtaining a first image in the image captured by the camera; wherein the first image includes a target object of the painting;

Step 12, determining target position information of the first image in the drawing paper area captured by the camera;

Step 13: adjusting the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera.

That is, according to the above steps, the electronic device can obtain a first image including the target object in the image captured by the camera for the target object drawn by the user. Thereafter, as the user moves the electronic device, the target position information of the first image is determined in the drawing paper area captured by the camera, so that the position of the first image in the image display interface is timely adjusted according to the target position information and changes in the drawing paper area captured by the camera, thereby facilitating the user to copy the painting and achieving higher quality copying painting effects. The user does not need to have professional painting skills, thereby providing convenience for painting beginners or enthusiasts.

It should be noted that, in this embodiment, the real scene captured by the camera is displayed as an image in the image display interface of the electronic device.

Optionally, the image display interface is used to display the image captured by the camera in real time.

For example, the user triggers the drawing assistance function of the electronic device through a specific operation to start the camera of the electronic device and display the image display interface on the screen, thereby triggering the electronic device to execute the drawing assistance method of the embodiment of the present application.

Optionally, in this embodiment, acquiring the first image among the images captured by the camera includes:

During the process of the camera capturing an image, displaying the image captured by the camera on the image display interface;

In response to a first instruction from a user, the target object is subjected to image clipping processing to obtain the first image.

Here, the first instruction is generated by the user's selection operation for a portion of the image in the image display interface, and is used to obtain the first image. For example, as shown in FIG2 , the image display interface 20 displays a target object of a painting, and the user interacts with the electronic device screen through a selection operation (such as clicking the screen with a finger) to select the area where the target object 22 is located with a rectangular frame 21.

In this way, the user can select the target object of the painting when the user finds it by viewing the image displayed on the image display interface, so that the electronic device responds to the first instruction corresponding to the selection operation, performs the cutout processing of the target object, and obtains the first image. The target object in the real scene captured by the camera of the electronic device is cut out, and then the image of the target object after the cutout processing is pasted and presented on the actual drawing paper area of the user captured by the camera, so that the user can observe the virtual reality AR superposition effect of the first image on the drawing paper through the device screen, and can observe and copy the target object on the actual drawing paper through the device screen.

It should be known that in this embodiment, the electronic device uses a deep learning cutout model to extract the foreground portion of the target object as the first image. Of course, the extracted first image will continue to be displayed on the image display interface (such as displayed in the center of the image display interface) so that the user can move the electronic device to fit the first image to the drawing paper area.

Among them, the deep learning cutout model can automatically separate the foreground and background in the image and generate accurate cutout results. The deep learning cutout model adopts an end-to-end structure, as shown in Figure 3. The input image undergoes a series of convolutions, downsampling, and upsampling, and finally outputs a single-channel binary Mask with the same size as the input image.

In the deep learning cutout model, 3*3 convolution refers to the convolution operation of the input image using a 3x3 convolution kernel. The convolution operation is calculated on the input image by sliding the convolution kernel to extract the features of the image. In the 3*3 convolution, the size of the convolution kernel is 3x3, which consists of 9 weight parameters. The convolution operation multiplies the convolution kernel by each pixel of the input image element by element, and adds the results to obtain the output value after convolution. By sliding the convolution kernel, the convolution operation can be performed on the entire input image to obtain the output result. 3*3 convolution is widely used in deep learning. It can be used for tasks such as image classification, object detection, and image segmentation. Because 3*3 convolution has a smaller convolution kernel size, relatively fewer parameters, and less computation, and can effectively capture the local features of the image, it is considered to be an efficient convolution operation.

In deep learning image cutout models, downsampling is used to reduce the size of an image or reduce the resolution of an image. It can be achieved by reducing the number of pixels in an image. During the downsampling process, some specific algorithms or methods are usually used to select the pixels to be retained. The most common downsampling methods are average pooling and maximum pooling. Average pooling is a downsampling method that averages the pixel values of each small area (such as a 2x2 area) of the input image, and then uses the average value as the pixel value of the corresponding area in the output image. This can reduce the size of the image and retain a certain degree of image information. Maximum pooling is another downsampling method that takes the maximum value of the pixel value of each small area of the input image and then uses the maximum value as the pixel value of the corresponding area in the output image. Maximum pooling can help retain the main features in the image while reducing the size of the image. Downsampling is widely used in deep learning, especially in Convolutional Neural Network (CNN). Through the downsampling operation, the size of the feature map can be gradually reduced, thereby reducing the amount of calculation, and more abstract and advanced features can be extracted. This helps to improve the efficiency and generalization ability of the model.

In deep learning matting models, upsampling is used to increase the size of an image or improve the resolution of an image. It can be achieved by increasing the number of pixels in the image. During the upsampling process, some specific algorithms or methods are usually used to interpolate the new pixel values. The most common upsampling methods are nearest neighbor interpolation, bilinear interpolation, and bicubic interpolation. Bilinear interpolation calculates the value of the new pixel in the output image by taking a weighted average of the pixels in the input image. This method can produce smoother results than nearest neighbor interpolation.

In neural networks, the concat operation of feature maps refers to splicing multiple feature maps along a certain dimension. This operation can be performed between different layers in a deep learning model to merge their feature information together. Usually, the concat operation is performed on the channel dimension of the feature map, that is, multiple feature maps are spliced on the channel dimension. For example, if there are two feature maps A and B, their sizes are [H, W, C1] and [H, W, C2] respectively, where H and W represent the height and width of the feature map, and C1 and C2 represent the number of channels. Then through the concat operation, they can be spliced into a new feature map with a size of [H, W, C1 + C2]. The concat operation of the feature map splices the feature map of the previous layer with the feature map of the next layer to retain more information. It can also be used for multi-scale feature fusion, splicing feature maps from different levels to improve the model's perception of information at different scales. Through the concat operation, the neural network can better utilize the feature information of different levels, thereby improving the model's expressiveness and performance.

In addition, taking into account the user's expectations for copying, in an embodiment of the present application, after obtaining the first image, step 12 is executed to determine the target position information of the first image in the area of the drawing paper captured by the camera, so as to prevent the movement of the electronic device during the subsequent painting process of the user from affecting the painting effect.

Optionally, in this embodiment, determining target position information of the first image in the drawing paper area captured by the camera includes:

When the camera captures the drawing paper area, in response to a second instruction from the user, adjusting the position of the first image in the image display interface;

In response to a third instruction from the user, obtaining relevant position information of the first image and the drawing paper area in the image display interface;

The target location information is determined according to the relevant location information.

Here, the second instruction is generated by the user moving the electronic device, aiming the camera at the drawing paper and capturing the drawing paper area to adjust the position of the first image, and is used to adjust the position of the first image in the image display interface. For example, the user performs an adjustment operation (such as two-finger touching the screen to zoom in or out the first image, and one-finger dragging the first image). Of course, the user can also freely adjust according to personal needs, such as adjusting the properties of the first image and adjusting the transparency of the first image through a slider.

The third instruction is generated by the user confirming the operation after completing the adjustment of the position of the first image (such as pressing the confirmation button after the user completes the adjustment), and is used to obtain the target position information. In this way, after the user completes the adjustment of the position of the first image, the electronic device can obtain the target position information of the first image, so as to subsequently adjust the position of the first image with reference to the target position information.

The relevant position information and the target position information may include the relative position of the pixel points of the first image and the reference points of the image drawing area. The reference points of the drawing area may be the four vertices of the drawing paper or other position points.

In this embodiment, the target position information is determined according to the relevant position information. On the one hand, the relevant position information can be used as the target position information. On the other hand, the target position information is calculated based on the relevant position information.

Optionally, determining target position information of the first image in the drawing paper area captured by the camera, or adjusting the position of the first image in the image display interface according to the target position information and a change in the drawing paper area captured by the camera, includes:

Removing the background area in the frame image captured by the camera to obtain a second image;

Performing edge detection and contour extraction on the second image to determine the position of the maximum contour;

According to the position of the maximum contour, the reference point position information is obtained.

In one implementation, in response to the user's confirmation operation, the electronic device will remove the background area of the current frame image captured by the camera to obtain a second image, and then determine the position of the maximum contour through edge detection and contour extraction, and then obtain the reference point position information from the position of the maximum contour. In this way, the relevant position information of the first image and the drawing paper area in the current frame image can be determined based on the reference point position information.

In one implementation, for the movement of the camera or drawing paper during the painting process, the electronic device will remove the background area of the real-time frame image captured by the camera to obtain a second image, and then determine the position of the maximum contour through edge detection and contour extraction, and then obtain the reference point position information from the position of the maximum contour. Thereafter, the position of the first image in the image display interface can be adjusted in real time based on the reference point position information.

Before removing the background area, the original frame image captured by the camera will be processed through morphological closing operations to remove noise, including dilation and then erosion.

After edge detection and contour extraction are performed on the second image, the maximum contour may be determined based on the maximum area included in the contour.

In addition, in this embodiment, obtaining the reference point position information according to the position of the maximum contour includes:

Performing quadrilateral approximation processing on the maximum contour to determine position information of four vertices;

The vertices are sorted as reference points to obtain the reference point position information.

Here, the quadrilateral approximation process includes the following steps:

Consider the maximum contour as a curve and determine the first and last points A and B of the curve;

1) Connect A and B to obtain a straight line segment AB, which is the chord of the curve;

2) Select the point C on the curve that is the farthest from the straight line segment, and calculate its distance d from AB;

3) Compare d with a predetermined threshold value. If d is less than the threshold value, the straight line segment is regarded as an approximation of the curve, and the curve segment is processed.

If d is greater than the threshold, the curve is divided into two segments AC and BC by C, and the two segments are processed by the above 1) to 3) respectively.

When all curves are processed, the broken lines formed by sequentially connecting the segmentation points can be used as an approximate quadrilateral of the curve to obtain the position information of the four vertices.

It should be understood that the position information in this embodiment may be a coordinate value. The reference points may be sorted as follows: the reference point with the smallest sum of horizontal and vertical coordinates is used as the upper left reference point, the reference point with the largest sum of horizontal and vertical coordinates is used as the lower right reference point, the reference point with the smallest difference between horizontal and vertical coordinates is used as the upper right reference point, and the reference point with the largest difference between horizontal and vertical coordinates is used as the lower left reference point.

Optionally, in this embodiment, adjusting the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera further includes:

When the drawing paper area captured by the camera moves, obtaining the reference point position information before and after the movement;

Determining a homography transformation matrix according to the position information of the reference points before and after the movement;

The position of the first image in the image display interface is adjusted according to the homography transformation matrix and the target position information.

Therefore, in the case of movement, by stably tracking the drawing paper area and calculating each frame image relative to the initial frame in real time, the homography transformation matrix H can be determined for the change in the reference point position. In this way, by combining H and the determined target position information, the position of the first image in the image display interface can be adjusted, as shown in FIG4 , to achieve the effect of stable fit between the target object 41 and the drawing paper 42 in the image display interface 40. Among them, the initial frame is the frame image determined by the target position information.

Below, taking the example of a user wanting to draw a pot of flowers in his home, the method application of the embodiment of the present application is illustrated as shown in FIG5 :

The user activates the drawing assistance function of the electronic device, and the camera collects images in real time and displays them on the image display interface. The user clicks the screen with his finger and selects a pot of flowers as the target object with a rectangular frame. The electronic device obtains the first image through cutout processing. The user moves the electronic device and points the camera at the drawing paper. The user adjusts the position and transparency of the first image (touch the screen with two fingers to enlarge or reduce the first image, drag the first image with one finger, and adjust the transparency of the first image through the slider), and confirms the adjustment (press the OK button after the adjustment). At this time, the image display interface will show the effect of superimposing the first image on the drawing paper. Afterwards, when the drawing paper area captured by the camera moves, the drawing paper area is stably tracked, the homography transformation matrix of each frame image relative to the initial frame is calculated in real time, and the position of the first image in the image display interface is adjusted, so as to achieve the effect of keeping the first image in contact with the drawing paper and the relative position of the drawing paper unchanged when the electronic device moves. Finally, the user can copy the pot of flowers on the drawing paper according to the outline of the object through the image display interface.

By pointing the camera at the flower, the flower can be separated from the background of the current frame. Then, by pointing the mobile phone camera at the drawing paper, an AR effect of superimposing the flower on the drawing paper in the actual scene can be presented on the mobile phone screen. In this way, the user can draw lines on the actual drawing paper through the image display interface, and copy the flower.

In summary, the method of the embodiment of the present application captures the target object in the real scene through the camera of the electronic device and performs cutout processing, and then fits the target object image after cutout processing on the actual drawing paper area of the user captured by the camera, so that the user can observe the AR overlay effect of the cutout image on the drawing paper through the device screen, and can observe through the device screen and copy the target object on the actual drawing paper, helping the user to achieve high-quality drawing effects.

As shown in FIG6 , a drawing assisting device according to an embodiment of the present application includes:

An acquisition module 61 is used to acquire a first image in an image captured by a camera; wherein the first image includes a target object of a painting;

A first processing module 62, configured to determine target position information of the first image in the drawing paper area captured by the camera;

The second processing module 63 is used to adjust the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera.

The device can obtain a first image including the target object in the image captured by the camera for the target object drawn by the user. Thereafter, as the user moves the electronic device, the target position information of the first image is determined in the drawing paper area captured by the camera, so as to timely adjust the position of the first image in the image display interface according to the target position information and changes in the drawing paper area captured by the camera, thereby facilitating the user to copy the painting and achieving a higher quality copying painting effect, without the need for the user to have professional painting skills, providing convenience for painting beginners or enthusiasts.

Optionally, the acquisition module is further used for:

During the process of the camera capturing an image, displaying the image captured by the camera on the image display interface;

In response to a first instruction from a user, the target object is subjected to image clipping processing to obtain the first image.

Optionally, the first processing module is further used for:

When the camera captures the drawing paper area, in response to a second instruction from the user, adjusting the position of the first image in the image display interface;

In response to a third instruction from the user, obtaining relevant position information of the first image and the drawing paper area in the image display interface;

The target location information is determined according to the relevant location information.

Optionally, the first processing module or the second processing module is further used for:

Removing the background area in the frame image captured by the camera to obtain a second image;

Performing edge detection and contour extraction on the second image to determine the position of the maximum contour;

According to the position of the maximum contour, the reference point position information is obtained.

Optionally, the second processing module is further used for:

When the drawing paper area captured by the camera moves, obtaining the reference point position information before and after the movement;

Determining a homography transformation matrix according to the position information of the reference points before and after the movement;

The position of the first image in the image display interface is adjusted according to the homography transformation matrix and the target position information.

Optionally, obtaining reference point position information according to the position of the maximum contour includes:

Performing quadrilateral approximation processing on the maximum contour to determine position information of four vertices;

The vertices are sorted as reference points to obtain the reference point position information.

Optionally, the image display interface is used to display the image captured by the camera in real time.

The implementation principle and technical effect of the device in the embodiment of the present application are similar, and this embodiment will not be repeated here.

As shown in FIG. 7 , an embodiment of the present application further provides an electronic device, including: a memory 702 , a processor 701 , and a program stored in the memory 702 and executable on the processor 701 ;

The processor 701 is used to read the program in the memory to implement the steps of the above-mentioned drawing assistance method.

The electronic device provided in the embodiment of the present application can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated in this embodiment.

Those skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware, or may be accomplished by instructing relevant hardware through a computer program, wherein the computer program includes instructions for executing part or all of the steps of the above method; and the computer program may be stored in a readable storage medium, and the storage medium may be any form of storage medium.

In addition, the specific embodiment of the present application also provides a readable storage medium, on which a program is stored, and when the program is executed by a processor, the steps in the above-mentioned drawing assistance method are implemented. And the same technical effect can be achieved, so in order to avoid repetition, it will not be repeated here.

The embodiment of the present application also provides a computer program product, including computer instructions. When the computer instructions are executed by a processor, the various processes of the method embodiment shown in Figure 1 above are implemented, and the same technical effect can be achieved. To avoid repetition, they are not repeated here.

In the several embodiments provided in the present application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may be physically included separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform some steps of the sending and receiving methods described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.

The above is a preferred embodiment of the present application. It should be pointed out that for ordinary personnel in this technical field, several improvements and modifications can be made without departing from the principles described in the present application. These improvements and modifications are also within the scope of protection of the present application.

Claims (11)

1. A drawing assisting method, characterized in that it is performed by an electronic device, wherein the electronic device is provided with a camera, and the method comprises: Acquire a first image among the images captured by the camera; wherein the first image includes a target object of the painting; Determine target position information of the first image in the drawing paper area captured by the camera; The position of the first image in the image display interface is adjusted according to the target position information and the change of the drawing paper area captured by the camera. 2. The method according to claim 1, characterized in that the acquiring of the first image in the image captured by the camera comprises: During the process of the camera capturing an image, displaying the image captured by the camera on the image display interface; In response to a first instruction from a user, the target object is subjected to image clipping processing to obtain the first image. 3. The method according to claim 1, wherein determining target position information of the first image in the drawing paper area captured by the camera comprises: When the camera captures the drawing paper area, in response to a second instruction from the user, adjusting the position of the first image in the image display interface; In response to a third instruction from the user, obtaining relevant position information of the first image and the drawing paper area in the image display interface; The target location information is determined according to the relevant location information. 4. The method according to claim 1, characterized in that the determining the target position information of the first image in the drawing paper area captured by the camera, or the adjusting the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera, comprises: Removing the background area in the frame image captured by the camera to obtain a second image; Performing edge detection and contour extraction on the second image to determine the position of the maximum contour; According to the position of the maximum contour, the reference point position information is obtained. 5. The method according to claim 4, characterized in that the adjusting the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera further comprises: When the drawing paper area captured by the camera moves, obtaining the reference point position information before and after the movement; Determining a homography transformation matrix according to the position information of the reference points before and after the movement; The position of the first image in the image display interface is adjusted according to the homography transformation matrix and the target position information. 6. The method according to claim 4, characterized in that obtaining the reference point position information according to the position of the maximum contour comprises: Performing quadrilateral approximation processing on the maximum contour to determine position information of four vertices; The vertices are sorted as reference points to obtain the reference point position information. 7. The method according to claim 1, characterized in that the image display interface is used to display the image captured by the camera in real time. 8. A drawing auxiliary device, comprising: An acquisition module, used to acquire a first image from an image captured by a camera; wherein the first image includes a target object of a painting; A first processing module, used for determining target position information of the first image in the drawing paper area captured by the camera; The second processing module is used to adjust the position of the first image in the image display interface according to the target position information and the change of the drawing paper area captured by the camera. 9. An electronic device, comprising: a memory, a processor, and a program stored in the memory and executable on the processor; characterized in that: The processor is used to read the program in the memory to implement the steps in the painting assistance method according to any one of claims 1 to 7. 10. A readable storage medium for storing a program, wherein when the program is executed by a processor, the program implements the steps of the drawing assisting method according to any one of claims 1 to 7. 11. A computer program product, characterized in that it comprises computer instructions, and when the computer instructions are executed by a processor, the steps in the drawing assistance method according to any one of claims 1 to 7 are implemented.